---
title: "Store fine-tuned model output"
description: "Find the Model Repository a fine-tuning job produced, download its model, and continue training from its checkpoint in a new job."
content_type: "how-to"
product: "model-repository"
platform: "TIR"
url: "/tir/model-repository/how-to/store-fine-tuned-model-output/"
topic: ["serve-and-train"]
---

# Store fine-tuned model output

Keep the model from a fine-tuning job in a Model Repository. You can download it, or start a new job from one of its checkpoints.

## Before you begin

- A fine-tuning job that has made a model.
- Permission to read model repositories in the project. A Member gets it through a policy that allows reading for the Inference service.

## Find the job's repository

On the fine-tuning job's **Models** tab, select a model's name, then select **Continue** in the **Redirect** dialog. You see only the repository the job made; to see all repositories, select **Refresh**.

After a job finishes, its TensorBoard log files are in this folder of the job's repository:

```text
tensorboard_logs/
```

The job's page also has three setup tabs for downloading the model: **Using SDK**, **Using TIR Notebook**, and **Using CLI**. See [Use a repository from an instance or notebook](/tir/model-repository/how-to/use-a-repository-from-an-instance-or-notebook/).

## Continue training from a checkpoint

1. In the fine-tuning job's form, open **Model Repository Type**. It offers a base model or "Continue training model from previous checkpoint".
2. Choose "Continue training model from previous checkpoint". Under **Select Model Checkpoint**, you can choose only a repository that a fine-tuning job made.
3. Choose a repository, then one of its checkpoint folders, and select **Submit**.

## Serve the fine-tuned model

The repository a job made is a repository of your project, like any other. The **Model Repository** list on the endpoint form shows it, so you can link it to a Model Endpoint. See [Use a repository from a Model Endpoint](/tir/model-repository/how-to/use-a-repository-from-a-model-endpoint/).

## Use the repository for other models

You can also store base models for fine-tuning in a repository, and download models to instances for training. See [Upload model files](/tir/model-repository/how-to/upload-model-files/).